Prophecy Fulfills $25 Million Series A

<p><strong><span class&equals;"xn-location">PALO ALTO <&sol;span><&sol;strong>&&num;8212&semi; Prophecy&comma; an enterprise low-code data engineering platform that brings the speed of DevOps to data engineering&comma; has raised a <span class&equals;"xn-money">&dollar;25 million<&sol;span> Series A round led by Insight Partners&comma; with participation from seed investors SignalFire and Berkeley Skydeck&comma; as well as Dig Ventures&period; The company has now raised over <span class&equals;"xn-money">&dollar;31 million<&sol;span> in funding&period;<&sol;p>&NewLine;<p>Prophecy provides an easy-to-use visual interface to build&comma; deploy and manage data processing that incorporates software engineering best practices&period; The company&&num;8217&semi;s platform is already relied on by a number Fortune 500 companies to manage data infrastructure across their enterprises&period; Prophecy will use the funding to expand its go-to-market team and to further enhance its low-code data engineering platform&period;<&sol;p>&NewLine;<p>Prophecy co-founder and CEO Raj Bains saw firsthand how data engineers struggle with big data platforms from his work at Hortonworks&period; Since today&&num;8217&semi;s cloud platforms only provide data processing engines&comma; data teams have been forced to assemble custom infrastructure – each building bespoke&comma; internal data tools and frameworks&period; The Prophecy team saw the opportunity to provide a data engineering platform for all companies with cutting-edge technology that combines the latest in visual and code development with compilation and tooling expertise from years of collective experience at Microsoft and the NVIDIA CUDA team&period;<&sol;p>&NewLine;<p>&&num;8220&semi;The fundamental problem is that data tooling hasn&&num;8217&semi;t changed much over the past decade&period; Data is the new oil&comma; but it needs to be refined into the fuel that powers machine learning and business analytics&period; This refining is currently an artisanal process driven by data engineers and custom scripts that is failing to fulfill real business outcomes&comma;&&num;8221&semi; said Bains&period; &&num;8220&semi;Prophecy is on a mission to industrialize data refining by combining robust engineering&comma; standardization and high-volume production&period; With this recent Insight investment&comma; we will make the platform widely accessible and advance the boundaries of what&&num;8217&semi;s possible in data engineering&period;&&num;8221&semi;<&sol;p>&NewLine;<p>&&num;8220&semi;Prophecy&&num;8217&semi;s low-code data engineering platform fulfills a significant whitespace – it creates a new category within modern data engineering platforms&comma;&&num;8221&semi; said <span class&equals;"xn-person">George Mathew<&sol;span>&comma; Managing Director at Insight Partners&comma; who is joining Prophecy&&num;8217&semi;s board&period; &&num;8220&semi;By leveraging software development best practices including code on Git&comma; continuous integration&sol;continuous deployment &lpar;CI&sol;CD&rpar;&comma; and a world-class visual drag-and-drop interface&semi; Prophecy has created a category-defining product for enterprise data engineering teams&period;&&num;8221&semi;<&sol;p>&NewLine;